Amazon
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Description
The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon’s operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed. Description
The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon’s operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed.
As a Data Scientist, you will build scalable solutions and models to support our business functions. Leveraging a range of methods including machine learning and simulation, you will explain, quantify, predict and prescribe in support of informing critical business decisions. You will translate business goals into agile, insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders.
We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex business problems by applying AI. The position represents a rare opportunity to be a part of a fast-growing business within AWS, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation Solutions, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.
Key job responsibilities
Use statistical and AI/ML techniques to create the next generation of the tools that inform strategic decision-making at AWS's highest levels Design and implement scalable analytical frameworks to measure and analyze Applied AI Solution's financial performance across all business units Create predictive models and analytical solutions that provide deep insights into revenue patterns, cost structures, and growth opportunities Develop innovative approaches to complex financial problems using advanced statistical methods and machine learning Partner with business leaders to identify key business questions and translate them into analytical solutions Drive the adoption of data-driven decision making across Applied AI Solutions Mentor team members and promote best practices in data science & analytics
Basic Qualifications
2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3016027 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Data Scientist” roles.
Bellevue, WA $145,000.00-$204,000.00 2 weeks ago Data Scientist, Energy Analytics, Google Cloud
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The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon’s operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed. Description
The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon’s operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed.
As a Data Scientist, you will build scalable solutions and models to support our business functions. Leveraging a range of methods including machine learning and simulation, you will explain, quantify, predict and prescribe in support of informing critical business decisions. You will translate business goals into agile, insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders.
We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex business problems by applying AI. The position represents a rare opportunity to be a part of a fast-growing business within AWS, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation Solutions, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.
Key job responsibilities
Use statistical and AI/ML techniques to create the next generation of the tools that inform strategic decision-making at AWS's highest levels Design and implement scalable analytical frameworks to measure and analyze Applied AI Solution's financial performance across all business units Create predictive models and analytical solutions that provide deep insights into revenue patterns, cost structures, and growth opportunities Develop innovative approaches to complex financial problems using advanced statistical methods and machine learning Partner with business leaders to identify key business questions and translate them into analytical solutions Drive the adoption of data-driven decision making across Applied AI Solutions Mentor team members and promote best practices in data science & analytics
Basic Qualifications
2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3016027 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Data Scientist” roles.
Bellevue, WA $145,000.00-$204,000.00 2 weeks ago Data Scientist, Energy Analytics, Google Cloud
Seattle, WA $166,000.00-$244,000.00 2 days ago Redmond, WA $150,000.00-$160,000.00 2 weeks ago Redmond, WA $178,880.00-$189,280.00 5 days ago Bellevue, WA $145,000.00-$204,000.00 4 days ago Seattle, WA $158,200.00-$185,000.00 3 weeks ago Seattle, WA $173,000.00-$242,000.00 5 days ago Redmond, WA $173,000.00-$242,000.00 6 days ago Seattle, WA $121,000.00-$228,500.00 1 week ago Seattle, WA $145,000.00-$204,000.00 5 days ago Seattle, WA $100,000.00-$220,000.00 5 months ago Redmond, WA $145,000.00-$204,000.00 5 days ago Seattle, WA $135,000.00-$150,000.00 5 days ago Seattle, WA $99,500.00-$187,000.00 1 week ago Seattle, WA $150,000.00-$175,000.00 5 days ago Seattle, WA $160,000.00-$180,000.00 2 weeks ago Bellevue, WA $80,000.00-$90,000.00 2 days ago Seattle, WA $130,000.00-$165,000.00 1 week ago Seattle, WA $120,000.00-$180,000.00 3 weeks ago Redmond, WA $84,200.00-$180,400.00 6 days ago Bellevue, WA $99,461.00-$128,329.00 1 week ago Seattle, WA $140,000.00-$220,000.00 3 weeks ago Bellevue, WA $130,000.00-$170,000.00 1 month ago Seattle, WA $130,000.00-$290,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr